/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.gluten.utils

import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.encoders.RowEncoder
import org.apache.spark.sql.types.StructType

object InternalRowUtl {
  def toString(struct: StructType, rows: Iterator[InternalRow]): String = {
    val encoder = RowEncoder(struct).resolveAndBind()
    val deserializer = encoder.createDeserializer()
    rows.map(deserializer).mkString(System.lineSeparator())
  }

  def toString(struct: StructType, rows: Iterator[InternalRow], start: Int, length: Int): String = {
    toString(struct, rows.slice(start, start + length))
  }

}
